Evaluation Guide to Semantic Layer for HR AI

Vendors are racing to add copilots, chatbots, and agents into their HR and workforce applications. On the surface, it looks like everyone has AI—but beneath the demo, most solutions fall short because they are built on fragmented data models not designed for AI. Generic LLMs can summarize text, but they can't answer critical questions like "What was headcount last quarter?" or "Which managers have the highest turnover risk?" without a deep understanding of workforce data.

This guide covers how you can accelerate your AI roadmap and ship intelligent workforce insights that people use and trust. Learn why the differentiator in the new AI-first era is a semantic layer built specifically for workforce data and how to build an architecture that enables faster innovation.